Benchmark: Non insensitive sorting

Script Preparation code:

var collections = 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var localeCompare = (a , b) => a.name.localeCompare(b.name);

var col = new Intl.Collator("en");
var collatorCompare = (a, b) => col.compare(a.name, b.name);


var orderAlpha = (fn) => (nodes) => nodes.sort((n1, n2) => fn(n1, n2))
var orderLocaleCompare = orderAlpha(localeCompare)
var orderCollatorCompare = orderAlpha(collatorCompare);

Tests:

Locale Compare
orderLocaleCompare(collections);
Collate Compare
orderCollatorCompare(collections);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Locale Compare
Collate Compare

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36

Browser/OS: Chrome 84 on Mac OS X 10.14.6

View result in a separate tab

Test name	Executions per second
Locale Compare	4388.3 Ops/sec
Collate Compare	3755.1 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):

LLMs can make mistakes. Check important info.

I'll provide an answer based on the provided code snippets.

The code appears to be implementing benchmarking tests for sorting algorithms using the `Intl.Collator` API in JavaScript. The tests are comparing the performance of two different collation orders: locale-based (`orderLocaleCompare`) and collator-based (`orderCollatorCompare`) sorting.

To provide a specific answer, I'll need more information about the desired outcome or the expected behavior of these benchmarking tests. However, based on the provided code snippets, here's an analysis:

**`collections` array**

The `collections` array contains objects with a `name` property, which seems to be used as a sorting key.

**Sorting algorithms**

Two sorting algorithms are implemented: `orderLocaleCompare` and `orderCollatorCompare`. These functions take the `collections` array as input and sort it using their respective collation orders.

* `orderLocaleCompare` uses the locale-based comparison function (`localeCompare`) to sort the array. This approach is based on the user's language and region settings.
* `orderCollatorCompare` uses a custom collator comparison function (`collatorCompare`) to sort the array. This approach is not dependent on the user's language or region settings.

**Benchmarking**

The benchmarking tests are implemented using the `Benchmark` framework, which allows for running multiple benchmarks with different inputs and measuring their performance.

The provided code snippets define two test cases:

1. `orderLocaleCompare(collections);`: Tests the locale-based sorting algorithm.
2. `orderCollatorCompare(collections);`: Tests the collator-based sorting algorithm.

**Results**

The latest benchmark result shows the execution times for each test case, with Chrome 84 running on a Mac OS X 10.14.6 machine. The results indicate that:

* `orderLocaleCompare` has an average execution time of approximately 4388.271484375 executions per second.
* `orderCollatorCompare` has an average execution time of approximately 3755.10205078125 executions per second.

Based on these results, it appears that the collator-based sorting algorithm (`orderCollatorCompare`) is slightly faster than the locale-based sorting algorithm (`orderLocaleCompare`). However, without more context or information about the specific use case or requirements, it's difficult to determine whether this outcome is desirable or not.

Related benchmarks:

Non insensitive sorting (version: 0)

Comparing performance of: Locale Compare vs Collate Compare

Created: 4 years ago by: Guest

Jump to the latest result

Locale Compare

Collate Compare

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):